How to extract and visualize a scientometrics network

A handy video tutorial explaining how to extract (from Scopus), convert (with Table2Net) and visualize (with Gephi) a nice scientometrics network.
The result is a bi-partite network in which the nodes are the authors of the papers extracted from Scopus and keywords associated to those papers. A keyword is connected to an author if she/he has use it in one of her/his articles.

Table2Net automatically removes spaces before and after strings, and transforms everything in lower case. We chose this design because it prevents many unwanted mistakes from beginners. If you want to use this tool as it is, you have to take it in account. Alternatively you can clone the repository and edit the code to make it fill your requirements. Relevant code lines: https://github.com/medialab/table2net/blob/master/js/sandbox.js#L2011-L2018

Bonjour Mathieu, i would like to use gephi to obtain a net of the Most cited authors from a Scopus csv file. I´ve find problems (table2net) when i choose “authors” and then sepparated by commas, because i´ve obtained things like “.b” or “.a” (dot and a word, the first names of authors), so my network node are just a word, not the entire name/surname of the authors.Hope you can help me, Kind regards.
Diego Reyes/Argentina